Table of Contents
What is the probability that a person has an IQ score greater than 100?
50\%
The probability that a person has an IQ score greater than 100 is 50\%.
Based on the 68-95-99.7 Rule, approximately 68\% of the individuals in the population have an IQ between 85 and 115. Values in this particular interval are the most frequent. Approximately 95\% of the population has IQ scores between 70 and 130. Approximately 99.7\% of the population has IQ scores between 55 and 145.
Is intelligence normally distributed?
Intelligence test scores follow an approximately normal distribution, meaning that most people score near the middle of the distribution of scores and that scores drop off fairly rapidly in frequency as one moves in either direction from the centre.
Does IQ follow a normal distribution?
The IQ follows a normal distribution by construction. There is no natural unit by which you can measure intelligence. At best you may be able to rank people by their level of intelligence.
What percentage of people have an IQ above 100?
If you look at the graph above, you can see that there are equal parts above and below the mean of 100. Roughly 68\% of humans will have IQ scores that fall between 85 and 115, or one standard deviation above or below the average human IQ.
What is the distribution of the IQ bell curve?
The distribution of the scores on these tests fall uniformly from each side of the mean and form what is known as the IQ bell curve. This distribution of scores is known as a standard distribution, seen in the graph below of the score distribution for the Wechsler intelligence tests. The meaning of the IQ bell curve
What is the standard deviation of IQ test?
IQ tests are constructed to have a mean of 100 and an standard deviation of 15. However, they are not exactly normally distributed (although they are close). There is some evidence that the tails are fatter than normal and there is a right skew to the distribution.